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Measuring Sample Importance in Data Pruning for Training LLMs from a Data Compression Perspective

Measuring Sample Importance in Data Pruning for Training LLMs from a Data Compression Perspective

Minsang Kim
Seungjun Baek
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Papers citing "Measuring Sample Importance in Data Pruning for Training LLMs from a Data Compression Perspective"

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Title
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
223
4,424
0
23 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018